96 results about "CT.scanogram" patented technology

The invention discloses a method for constructing a multi-scale digital rock core based on fusion of a CT scanned image and an electro-imaging image. The method is characterized by extracting a large-scale pore and rock skeleton from the electro-imaging image, calculating partial porosity distribution and pore dimension distribution thereof, and constructing a large-scale three-dimensional digital rock core in radial direction; meanwhile, extracting a small-scale pore and rock skeleton from the CT scanned image, calculating partial porosity distribution and pore dimension distribution thereof, and constructing a small-scale three-dimensional digital rock core in depth longitudinal direction; and selecting horizontal sections, the depth of which are same, of the large-scale three-dimensional digital rock core and the small-scale three-dimensional digital rock core respectively, fusing the horizontal sections to generate a multi-scale two-dimension slice having small-scale pores and large-scale cracks and holes, and constructing a three-dimensional digital rock core through the multi-scale two-dimension slice, thereby solving the problem of constructing a multi-scale three-dimensional digital rock core of unconventional reservoir of shale, tight sandstone and carbonate rock and the like, and enabling the digital rock core module to be same with the actual rock to the largest degree.

A novel database and method of classifying and searchably retrieving measurement data derived from a plurality of rock core and plug sample images that are analyzed to define their principal geostatistical attributes and characteristics, with the resulting analytical data being retrievably stored in a database, the method including calculating spatial variability of images, such as CT scan images, porosity images and other types of available images, quantifying the main image characteristics utilizing multi-azimuth variograms and simplified pattern recognition based on the histogram and variography analysis to thereby provide a means to correlate data from various geographical regions or fields by analyzing data which has the same variographic parameters.

The invention relates to the technical field of CT (computed tomography) and discloses a CT scanning image rebuilding method and a CT scanning image rebuilding device. The method comprises the following steps that scanning data is recombined into data formats required by projection; for each selected target pixel point, passage positions of the projection passing through the target pixel points are calculated; for each selected target pixel point, and layer positions of the projection passing through the target pixel points are determined according to sample points of rays of each type of focus in the z axis; and the obtained passage positions and layer positions of the projection passing through the target pixel points are subjected to weighted accumulation onto the target pixel points. When the CT scanning image rebuilding method and the CT scanning image rebuilding device are utilized, the influence on the z-axis direction resolution ratio caused by the two-step interpolation in the prior art can be avoided.

A method for combined computed tomography (CT) imaging and positron emission tomography (PET) imaging uses respiration-gated CT imaging in which the optimal criteria for CT scan gating are determined after the PET scan has been performed. After acquisition of first CT scan image data and PET scan image data with strain gauge levels being recorded, optimal gating criteria are calculated based on the strain gauge levels, and a second CT scan is then performed with triggering in accordance with the optimal gating criteria.

The invention relates to a virtual reality platform based lateral ventricle puncture training system. The system comprises a CT (computed tomography) scanning/MRI (magnetic resonance imaging) image data importing unit, a CT scanning/MRI image reconstruction unit, a virtual reality head-mounted display device, a joystick and a virtual reality processing unit. The CT scanning/MRI image data importing unit is used for providing CT scanning information of patients and patient information; the CT scanning/MRI image reconstruction unit is used for constructing a three-dimensional model, the virtualreality head-mounted display device provides virtual display environment display, and the joystick provides virtual reality environment operating information. The virtual reality processing unit comprises a VR (virtual reality) environment unit, a VR voice recognition unit and a VR surgical unit, wherein the VR environment unit is used for providing a virtual environment matched with a reality surgical environment, the VR voice recognition unit is used for operator voice recognition, and the VR surgical unit is used for executing surgical operations. The virtual reality platform based lateralventricle puncture training system has advantages that the problem of resource shortage in experiment teaching is solved, reality in doctor training is enhanced, training cost is reduced, experience summarization is facilitated for doctors, and patient-doctor disputes can be avoided.

The invention discloses a CT image detection method based on deep learning. The method comprises the steps of preprocessing an original image to obtain a to-be-detected image; establishing a trainingneural network detection model to obtain a neural network CT image detection model; inputting the to-be-detected image into the neural network CT image detection model; Obtaining detection results, wherein the input to-be-detected image comprises cross section direction information. Different from an existing single-input and single-output model training mode, input is changed into five-dimensional data from a one-dimensional data image of a single slice, output is also changed into two-channel mask output from single output, model precision and focus fitting degree of a prediction result areimproved, precision reaches expert level, and clinical application can be carried out. Moreover, in the process, a neural network CT image detection model is established by using big data in advance,during judgment, a CT scanning image of a patient is directly input, the model is used for calculation, the model output response speed is high, and disease delay is not likely to be caused.

The invention relates to a lung parenchyma area surface model establishment method based on a computed tomography (CT) image. The method includes the steps of conducting gaussian smoothing operation on each original image of a lung CT scanned image by using a computer so as to eliminate image noise interference, obtaining a lung parenchyma area by using a three-dimensional FastMarching algorithm, using a MarchingCubes algorithm, confirming specific morphological characteristics of lung parenchyma by using calculation of surface curvature, removing a confirmed uninterested area, and finally obtaining a complete surface model of a lung interested area with a smooth surface with marginalized repair. The invention provides a computer aided imaging diagnosis method which can eliminate diagnosis difference caused by different subjective factors such as subjective experience and observational ability of doctors, provide referential identified diagnosis results with high accuracy rate, thereby enable diagnostic imaging to be more objective and improve efficiency and accuracy of diagnosis.

The invention discloses an CT image-based osteoporosis parameter automatic measurement method. The method comprises the following steps: 1) constructing a clinical data taking DXA diagnosis as astandard, and constructing a corresponding relation between a CT value of a to-be-measured vertebral body layer and bone mineral density measured through the DXA diagnosis; 2) carrying out bone mineral density measurement method correction: carrying out CT scanning on a body membrane with known density, establishing a linear corresponding relationship between a CT value and the bone mineral density of the body membrane, and then carrying out correction to obtain a corresponding relationship between the CT value and the real bone mineral density; 3) performing lumbar vertebra segmentation on the CT scanning image of the to-be-measured object, and then 4) performing bone mineral density calculation. According to the method, three-dimensional measurement is carried out from the three-dimensional CT image. The osteoporosis sensitivity is high. An examiner does not have extra X-rays. The measurement process is automatically and objectively quantified. In addition, bone trabecula morphological parameters and rubbing parameters can be additionally obtained.

The invention discloses a positioning method for a craniomaxillofacial surgery. The positioning method comprises the following steps of: first, producing an occlusal splint referring tracer according to a plaster model of dentition of a patient; secondly, fixing an occlusal splint in an oral cavity of the patient, performing CT (Computed Tomography) scanning on the patient to obtain CT scanning image data, and segmenting and reconstructing the CT scanning image data through CT image reconstruction software to obtain a triangular mesh model of soft and hard craniomaxillofacial tissues of the patient and the occlusal splint referring tracer; and thirdly, arranging a standard fixing reference frame at the head of the patient, reading a transformation matrix M2 of the occlusal splint referring tracer in a three-dimensional coordinate system of the standard fixing reference frame, solving a transformation matrix M of the standard fixing reference frame in the three-dimensional coordinate system of the head, solving a transformation matrix Mf of a light-reflecting ball array of a tool in the three-dimensional coordinate system of the head, tracing and navigating the light-reflecting ball array of the tool relative to the three-dimensional coordinate system of the head in real time, and positioning the light-reflecting ball array of the tool.

The invention provides a method and device for simulating a diffusion process of a contrast agent. The method comprises steps as follows: a three-dimensional blood vessel model is built according to a blood vessel CT scanning image; the three-dimensional blood vessel model is pre-processed; the pre-processed model is rendered to a screen, and particles are initialized; the three-dimensional blood vessel model rendered to the screen and the initialized particles are subjected to collision detection, the action force of the three-dimensional blood vessel model on the particles is calculated according to a collision detection result to obtain external force; internal force among the initialized particles is calculated according to smoothed particle hydrodynamics; the state of the particles in the three-dimensional blood vessel model rendered to the screen is updated and rendered to the screen. The method and device solve the technical problems of large calculation amount, difficulty in acquisition of parameters and low authenticity of a simulation effect with a conventional method for simulating the diffusion process of the contrast agent in the prior art, and realize the technical effects of good instantaneity, high simulation effect accuracy and simple simulation process.

The invention belongs to the technical field of concrete model reconstruction, and relates to a three-dimensional reconstruction method of a concrete mesostructure model. A precision screw is used tocontrol the grinding interval of a concrete section. The continuous section image of a smaller layer spacing is acquired through repeated concrete grinding and photographing. When three-dimensional model reconstruction is carried out, the computation of the inter-layer difference of the image is reduced. The section image is aligned in the Z-axis direction when the continuous section image is acquired. The degree of calibration of the acquired continuous section image is high. A model basis is provided for the numerical simulation study of the material and the interface layer of each phase ofconcrete. The degree of fitting of extracted different phases is high. The precision of an established three-dimensional numerical model is high. The principle of the method is scientific and reliable. The acquisition method of the continuous section image is simple, feasible and highly cost effective. Compared with a model established by a CT scan image, the established concrete mesostructured three-dimensional model has less image interference, and can truly reflect the internal structural characteristics of the concrete and the structure distribution of each phase.

The invention provides a core pore structure change detection and analysis method which comprises the following steps: carrying out CT scanning on a core sample (without pore structure change) so as to obtain related CT values of a dry core sample and a complete saturation type initial fluid core sample; adjusting a foreign fluid CT value and an initial sample fluid CT value to be consistent by analyzing a core sample CT scanning principle, so that in a flowing test process, the CT value of the core sample changes only related with the change of a pore structure; carrying out a core fluid flowing test on the core sample, and simultaneously carrying out the CT scanning so as to obtain related test data, such as the CT values, when a foreign fluid and an initial sample fluid simultaneously exist (at the moment the core sample has the possibility to be subjected to the pore structure change) in the test; calculating so as to obtain core pore structure change parameters according to the test data; and obtaining a core analysis curve and a CT scanning image according to the core pore structure change parameters, so that specific locations and areas on which the pore structures change in a core can be accurately detected, and simultaneously the corresponding quantitative analysis can be carried out on the locations and areas on which the pore structures change.

The invention discloses an MEMS structure three-dimensional reconstruction and detection method based on CT scanned images. The MEMS structure three-dimensional reconstruction and detection method based on the CT scanned images aims to solve the problems that an existing detection means has high requirements for detection environment and can not reflect three-dimensional shapes of MEMS structures, and meanwhile guarantees nondestructive testing of an MEMS. According to the method, firstly, serial images of an MEMS device are obtained in a scanning mode by adopting the industrial CT technology; secondly, the images are processed and volume data of the images are obtained, surface modal reconstruction is carried out according to the volume data and a surface triangular mesh model of the MEMS device is obtained; then, the surface model is repaired, feature information of the surface model is recognized and extracted, and different features of the device model are classified into different feature blocks; finally, fitting is carried out on the classified feature blocks, feature parameters are extracted and data interface files are educed. Through the technical means, accurate detection of the three-dimensional structure of the MEMS structure is achieved.

The present invention provides an inexpensive surgical guide preparation tool by which an insertion hole for implant can be correctly and easily formed at a predetermined position.

The surgical guide preparation tool has a pair of marker members opposing to each other and a gauge body which has a support member for connecting the marker members, and the gauge body is attached to a surgical guide body. The surface of each marker member is provided with grid-like lines which are recognizable by a CT scanned image and disposed longitudinally and laterally at substantially regular intervals; predetermined marks are chosen from intersections of the grid-like lines, and a guide ring is attached to the surgical guide body so that a direction connecting the chosen marks is used as an axial direction of the guide ring. The axial direction of the guide ring is used as an insertion direction for implant.

The embodiment of the invention provides a determination method and device for the content of organic carbon in hydrocarbon source rocks. The method provided by the invention comprises the following steps: obtaining a first three-dimensional CT (Computerized Tomography) scanning image and a background CT scanning image of a rock core; carrying out background value deduction on the first three-dimensional CT scanning image according to the background CT scanning image, so as to obtain a second three-dimensional CT scanning image; identifying pixel points which are covered by the organic carbon in the second three-dimensional CT scanning image according to gray values of all pixel points in the second three-dimensional CT scanning image; obtaining space distribution of the organic carbon of the rock core and the volume fraction of the organic carbon according to the pixel points covered by the organic carbon. According to the determination method and device, provided by the embodiment of the invention, three-dimensional space distribution characteristics of the organic carbon can be directly displayed; meanwhile, the volume fraction of the content of the organic carbon is accurately obtained.